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Personal statement example
My final-year undergraduate project began with a fairly mundane observation from a summer job packing orders in a warehouse: almost everyone made the same mistake, reaching for the wrong shelf when two product codes differed by a single digit. I designed a computer-based picking task in which participants retrieved items from a grid of on-screen bins, comparing plain numeric labels with labels that added a redundant colour band. Colour-coding reduced errors modestly, but what interested my supervisor and me more was the pattern of the errors that remained: they clustered when participants were working quickly and when two similar codes sat adjacent. Writing that up taught me to be careful about what a small study can support. My sample was fifty-two undergraduates, my task was much simpler than a real warehouse, and my conclusion was properly limited to suggesting which design features deserved a better-controlled test. I would like to spend a master's learning to do that kind of work more rigorously.
My degree gave me the foundations I keep returning to: attention and working memory, signal detection theory, and research methods, including the mixed-design analysis I used in my project. Reading around the subject has shaped how I think about error. Reason's distinction between active failures and latent conditions, and his work on the different mechanisms behind slips and mistakes, changed how I interpreted my own results. Norman's The Design of Everyday Things gave me a vocabulary for affordances and mappings that I found myself using constantly once I started looking at everyday equipment. I am now more interested in the measurement side: how workload is actually assessed in the field, and how far self-report instruments can be trusted alongside performance data.
My job in a university library has been an unexpectedly good source of examples. I look after the self-service borrowing machines and the room booking system, which means I see the same confusions repeatedly. Users routinely tap the screen before placing the book on the pad, because the visible prompt appears before the sensor is ready. I logged the problems staff were reporting for a month, grouped them, and suggested to my supervisor that the prompt wording and its timing were the likeliest culprits rather than user inattention. We changed the on-screen text and added a printed card; queries at the desk dropped noticeably, though I did not collect the kind of data that would let me claim a measured effect. It was a small, useful change, and a reminder that most human factors work is incremental.
I also collaborated on a group project in my second year evaluating the usability of a local council's recycling information pages. My part was writing and piloting the task scenarios and keeping the notes consistent across the four of us, which mattered more than I expected when we came to pool our observations. Outside work I restore second-hand bicycles and pass them on cheaply to students. Setting up brake levers for people with different hand sizes has made anthropometry feel less abstract than it did in lectures.
A taught master's suits me because I want structured grounding in areas my degree only touched: task analysis, human reliability, and the standards used in safety-critical industries. I am particularly keen to learn cognitive task analysis properly, since my instinct at the moment is to jump to redesign before I have understood how the work is currently done. Afterwards I hope to work as a human factors practitioner, most likely in transport or healthcare, where the questions are concrete and the consequences of poor design are clear. I would rather spend my career making ordinary systems less error-prone than looking for something more dramatic.
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